Over the next three years, Tassomai is focussing heavily on extending and improving our product, as well as new product development. As our data analyst you would play a key role in shaping the development of a product which is already helping students, teachers and parents and helping make it into one that can have maximum education impact for our users. You would be part of an exciting startup with a research-first mindset and have the opportunity of reflecting the impact of our work and helping us to continually improve on what we do.
What’s the challenge?
At Tassomai we have an ambitious vision for how the education system can be improved with edtech. We seek to continuously examine the degree to which our users benefit from their activity on the site and, with each new development, to measure whether we are improving the experience and education outcomes for our students.
You’ll be involved in working with developers, product designers, customer-facing teams and educationalists in designing metrics and reporting on their changes.
You’ll also join at the start of an exciting period of growth over the coming years. We currently operate as a single cross-functional product team and think of Tassomai as a single product. Next year we’re expecting to split into multiple teams, each with a tighter focus on a segment of users and associated product, as well as starting work on two new products. You would have an influence on how these different teams set up and measure the impact of their work and have a constructive input on helping different business units set and achieve their targets.
Duties and Tasks
Conduct analysis on a range of data outputs from Tassomai back end and other APIs that work with Tassomai;
Report findings to colleagues in a way that is comprehensible and useful to non-technical staff;
Work with various different departments in the business to set metrics to examine the site or business’ performance;
Advocate for the use of analytics in the design of new projects and products;
Be responsible for identifying areas for further development with a view to better data use, help come up with solutions;
Work closely with junior education researchers and help them acquire skills to manage and interpret data;
Engage with the management and running of the business generally.
Knowledge, Skills and Abilities
Since you would bridge the gap between the Education and Engineering department, a good knowledge of research principles and coding are essential;
A passion for education, learning about learning and a strong desire to contribute to making an awesome education tool;
Knowledge of Python (preferred) or R;
Good written and verbal communication skills
Where would you be working?
We’re based on the 5th floor of an old pharmaceutical warehouse in Bethnal Green. It’s a co-working space and we’ve bagged the best office which is light and airy with a lovely balcony - we love it.
EMI share scheme
22 days holiday plus your birthday off
Time off between Christmas and New Year
Cycle to work scheme
Travel card loan scheme
More coffee-making apparatus than the rest of East London put together
Competitive, dependent on experience.
How do you apply?
Please send all applications to email@example.com
As well as an up to date CV, please also send your answers to the following questions:
What do you most value in a job?
What is the most important quality for a data analyst to have?
Where have you seen and developed unrealised potential in others?